Modeling of Tank Vehicle Rollover Risk Assessment on Curved–Slope Combination Sections for Sustainable Transportation Safety

Xuelian Zheng, Lijuan Yu, Yuanyuan Ren (), Xiansheng Li, Biao Liang and Jianfeng Xi
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Xuelian Zheng: School of Transportation, Jilin University, Changchun 130012, China
Lijuan Yu: School of Transportation, Jilin University, Changchun 130012, China
Yuanyuan Ren: School of Transportation, Jilin University, Changchun 130012, China
Xiansheng Li: School of Transportation, Jilin University, Changchun 130012, China
Biao Liang: Nanjing Sample Technology Co., Ltd., Nanjing 210049, China
Jianfeng Xi: School of Transportation, Jilin University, Changchun 130012, China

Sustainability, 2025, vol. 17, issue 3, 1-19

Abstract: Tank vehicles are highly prone to rollover accidents, especially on curved–slope combination sections, which can cause hazardous chemical spills, endangering the environment, public safety, and human health. Therefore, it is crucial to conduct research aimed at reducing the risk of such incidents. Method: The rollover risk of tank vehicles under various loading conditions while traveling on curved–slope combination sections was investigated using driver–vehicle–road dynamics simulation. A multiple linear regression model was then developed to further quantify the impact of key factors on the rollover risk. Results: The results revealed that the road curve radius, vehicle operating speed, and liquid cargo fill level have the greatest impact on a tank vehicle’s rollover risk, and higher fill levels, higher speeds, and steeper downhill slopes all amplify the impact of curve radius on the rollover risk. In some cases, adhering to the road’s speed limit alone was insufficient to ensure the safe passage of the tank vehicle through curves. Conclusions: This study introduced, for the first time, a rollover risk assessment model for tank vehicles operating on curved–slope combination sections. The findings reveal effective methods to improve the transportation safety of tank vehicles. Practical Applications: The findings of this study can assist transportation agencies in selecting routes with lower rollover risks for tank vehicles with different configurations, as well as guide the development of loading standards and curve speed limits. This will effectively reduce rollover accidents of tank vehicles and support sustainable, safer transportation practices.

Keywords: tank vehicles; rollover risk; assessment model; traffic safety; environmental impact; multiple regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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